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  • Effective Features to Classify Big Data Using Social Internet of Things

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    ₹4,500

    Effective Features to Classify Big Data Using Social Internet of Things Abstract-Social Internet of Things (SIoT) supports many novel applications and networking services for the IoT in a more powerful and productive way. In this paper, we have introduced a hierarchical framework for feature extraction in SIoT big data using map-reduced framework along with a…

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  • Influential Gene Identification for Cancer Classification

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    Influential Gene Identification for Cancer Classification Abstract-In the field of cancer diagnosis, the DNA microarray technology is used to estimate the level of expression of thousands of genes, which can then be used to differentiate between cancer and control subjects. For the diagnosis purpose, the number of genes is often more than our computational limit….

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  • Multi-view Scaling Support Vector Machines for Classification

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    Multi-view Scaling Support Vector Machines for Classification and Feature Selection Abstract-With the explosive growth of data, the multi-view data is widely used in many fields, such as data mining, machine learning, computer vision and so on. Because such data always has a complex structure, i.e. many categories, many perspectives of description and high dimension, how…

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  • Multi-view Scaling Support Vector Machines for Classification

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    ₹4,500

    Multi-view Scaling Support Vector Machines for Classification and Feature Selection Abstract-With the explosive growth of data, the multi-view data is widely used in many fields, such as data mining, machine learning, computer vision and so on. Because such data always has a complex structure, i.e. many categories, many perspectives of description and high dimension, how…

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  • Semi-supervised machine learning approach for DDoS detection

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    ₹4,500

    Semi-supervised machine learning approach for DDoS detection Abstract-Even though advanced Machine Learning (ML) techniques have been adopted for DDoS detection, the attack remains a major threat of the Internet. Most of the existing ML-based DDoS detection approaches are under two categories: supervised and unsupervised. Supervised ML approaches for DDoS detection rely on availability of labeled…

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